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Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks
In the last few decades, metabolic networks revealed their capabilities as powerful tools to analyze the cellular metabolism. Many research fields (eg, metabolic engineering, diagnostic medicine, pharmacology, biochemistry, biology and physiology) improved the understanding of the cell combining exp...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Libertas Academica
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999820/ https://www.ncbi.nlm.nih.gov/pubmed/24812497 http://dx.doi.org/10.4137/BBI.S12466 |
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author | Bazzani, Susanna |
author_facet | Bazzani, Susanna |
author_sort | Bazzani, Susanna |
collection | PubMed |
description | In the last few decades, metabolic networks revealed their capabilities as powerful tools to analyze the cellular metabolism. Many research fields (eg, metabolic engineering, diagnostic medicine, pharmacology, biochemistry, biology and physiology) improved the understanding of the cell combining experimental assays and metabolic network-based computations. This process led to the rise of the “systems biology” approach, where the theory meets experiments and where two complementary perspectives cooperate in the study of biological phenomena. Here, the reconstruction of metabolic networks is presented, along with established and new algorithms to improve the description of cellular metabolism. Then, advantages and limitations of modeling algorithms and network reconstruction are discussed. |
format | Online Article Text |
id | pubmed-3999820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-39998202014-05-08 Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks Bazzani, Susanna Bioinform Biol Insights Commentary In the last few decades, metabolic networks revealed their capabilities as powerful tools to analyze the cellular metabolism. Many research fields (eg, metabolic engineering, diagnostic medicine, pharmacology, biochemistry, biology and physiology) improved the understanding of the cell combining experimental assays and metabolic network-based computations. This process led to the rise of the “systems biology” approach, where the theory meets experiments and where two complementary perspectives cooperate in the study of biological phenomena. Here, the reconstruction of metabolic networks is presented, along with established and new algorithms to improve the description of cellular metabolism. Then, advantages and limitations of modeling algorithms and network reconstruction are discussed. Libertas Academica 2014-04-16 /pmc/articles/PMC3999820/ /pubmed/24812497 http://dx.doi.org/10.4137/BBI.S12466 Text en © 2014 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CCCC-BY-NCNC 3.0 License. |
spellingShingle | Commentary Bazzani, Susanna Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title | Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title_full | Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title_fullStr | Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title_full_unstemmed | Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title_short | Promise and Reality in the Expanding Field of Network Interaction Analysis: Metabolic Networks |
title_sort | promise and reality in the expanding field of network interaction analysis: metabolic networks |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999820/ https://www.ncbi.nlm.nih.gov/pubmed/24812497 http://dx.doi.org/10.4137/BBI.S12466 |
work_keys_str_mv | AT bazzanisusanna promiseandrealityintheexpandingfieldofnetworkinteractionanalysismetabolicnetworks |